Imagine what changes AI will bring in the next 1000 days. Some say it will be a complete revolution, others say it's a bubble. But the truth may lie somewhere in between.

**AI is a tool, not a creator**

In the next 1000 days, AI will be more like a super-convenient knowledge base rather than a disruptive black technology. Its essence remains an extension of computational power, smoothly integrated into economic growth. There will be no sudden mutations, nor exponential bursts of intelligence.

But even so, every researcher has a strong need for an assistant with a broad knowledge base. This is the most astonishing achievement in AI over the past 1000 days: finding such an assistant was once as difficult as climbing a mountain, but now you can have one for just $20 a month. This is the most gratifying return on humanity’s trillion-dollar investment in AI.

**Will economic growth change? Yes**

Although AI won't cause a sudden jump in GDP in the short term, steadily promoting economic development is already a certainty. Viewing this wave as an extension of computing power is more accurate—humans have experienced a surge in AI based on computation, a process that has lasted over 60 years, starting from the moment Moore’s Law took effect and never stopped.

Current large language models and reinforcement learning technologies will pick up where Moore’s Law, interrupted by physical limits, leaves off, continuing to push the economy forward. Over the past 1000 days and the next 1000 days, AI’s contribution to economic growth is roughly equivalent to the growth brought by chips over the past 60 years.

Looking at a shorter timeframe of 5 to 10 years? That’s like the explosive growth of integrated circuits in the 1960s and 70s, or the rise of mobile internet after 2012.

**Don’t mistake it for the internet bubble of 1999**

Many business analysis articles compare today’s AI boom to the internet bubble of 1999-2000. This analogy is too inaccurate. It’s better to compare it to the development of integrated circuits in the 1960s and 70s—that was a cycle embedded in the subsequent booming information service sector. Articles that equate the AI boom with the internet bubble underestimate the driving force of technological breakthroughs on the economy.

**What is true competitiveness?**

As AI smoothly integrates into economic growth, individual capability will be more about the overall grasp of problems rather than solving specific difficult points.

You need to think clearly: what is the input of the problem? What are the constraints? What is the ultimate goal? How do you measure the results? Once you clarify these, the problem is well-modeled, and the big picture is captured. Those details that once required querying and analysis—like how to write complex code or which paper provides the strongest evidence—will be handled by AI for you.

**The watershed of the future**

In the next 1000 days, the key factor for individual differences will be who learns to articulate problems clearly first. The benefits of AI will be gradually but steadily added to everyone’s life.

As for true AGI (Artificial General Intelligence) that can actively complete tasks, learn autonomously, and update itself in real-time? It won’t appear in the next 1000 days. Honestly, this might be more friendly for us— a world without AGI gives us more time and space to adjust.